Memory Server
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Provides intelligent memory management capabilities using Qdrant vector database for semantic search and storage.
About
The Memory Server acts as a central intelligent memory system, leveraging the Qdrant vector database to offer robust semantic search and storage functionalities. Specifically designed for seamless integration with the Cursor IDE, it empowers AI agents with different types of memory—global, learned, and agent-specific—to enhance their operational intelligence and context awareness. It intelligently processes markdown content, performs vector-based similarity searches, and ensures protocol compliance for effective AI development workflows.
Key Features
- Supports multiple memory types: Global, Learned, and Agent-Specific
- Performs vector-based semantic search with duplicate detection
- Ensures standardized MCP protocol compliance for Cursor IDE integration
- Includes intelligent content cleaning and Markdown processing
- Offers a comprehensive tool set for various memory operations
- 0 GitHub stars
Use Cases
- Providing common knowledge and standards across all AI agents
- Storing and querying past lessons learned and mistakes to avoid
- Managing agent-specific contexts and specialized knowledge within an IDE
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